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      University of Skövde, link to startpage

      Computational Methods in Engineering - Master's Programme

      Programme, Master's (2nd cycle), 120 credits, IBEMA
      Master of Science

      Application

      Choose a programme instance to display its syllabus, courses and entry requirements

      Autumn 2023, Location: Campus (Skövde), Pace: 100%

      Application

      Application code HS-41223 at universityadmissions.se

      Programme Syllabus

      When? Where? How?

      Study period: 28 august 2023 - 8 june 2025
      Location: Skövde, Campus
      Pace of study: 100%

      Courses (syllabus)

      Find the complete course list in the programme syllabus.

      Admission Requirements

      A Bachelor’s degree equivalent to a Swedish Kandidatexamen of 180 credits, with a major within mechanical engineering or production engineering (or the equivalent). Additionally, courses of at least 7.5 credits in Strength of Materials (or equivalent) and 7.5 credits in the Finite Element Method (or equivalent) are required. A further requirement is proof of skills in English equivalent of studies at upper secondary level in Sweden, known as the Swedish course English 6. This is normally demonstrated by means of an internationally recognized language test, e.g. IELTS or TOEFL.

      Selection

      Credits awarded.

      Language

      The courses are conducted in English.
      Computational Science and Engineering (CSE) is an emerging interdisciplinary field which has been growing rapidly in the last decades. This programme empowers you to gain insights into the physical world in a virtual way with essential knowledge, tools and skills to cater for the industry of the future.

      About the programme

      Along with industry digitalisation, increasing technologies and computerised tools are developed to establish virtual mirror images of physical entities so that they are able to be applied for investigating the behaviours of their physical counterparts under various working conditions through simulations. A physical entity could be a structure, a component, a product, a process or even a system. Its virtual mirror image is called a model or a digital twin as long as the bidirectional communication between them is enabled. As a result, a significant amount of time and cost are exempted from creating the physical prototypes and conducting massive physical experiments. Accordingly heavy demands on high fidelity modelling and simulations emerge from the modern industry which is characterised by complex engineered and scientific systems.

      Benefitting from the advancement of sensors, computational science and high-performance computing equipment, the modelling and simulation techniques are flourishing in terms of analytical, geometrical, multi-physics and data-driven manners. Combining with other techniques such as optimisation techniques and data analysis techniques, the physical entities of interest could be explored in a more comprehensive way than ever before. This programme will provide you with a solid foundation in multiple computational methods for the design, analyse, operation and maintenance of complex engineered and scientific systems.

      The Focus of Your Studies

      This programme focus on educating you in the formulation, analysis, implementation and application of multiple computational approaches for realisation of innovative engineering solutions. The curriculum is interdisciplinary and well-designed for you to overcome challenges of the future.

      In the first school year, you will study sensor network design, data collection and data analysis methods so that you could apply the popular data-driven tools for different industrial applications such as industrial equipment operation monitoring and maintenance. In the second school year, you will continue with the advanced courses related to finite element analysis and engineering optimization to enable you to modelling a structure, a process or a system to investigate their behaviours for pursuing the optimised settings. Moreover, you will study model based engineering methodology to achieve streamlined R&D developments.

      The programme also provides engineering project course and master degree project course respectively at the end of each school year to allow you to solve the relevant engineering problems with different complexity by combining your theoretical knowledge and practical skills.

      Upon Completion of Your Studies

      This programme will equip you with the skills required for a successful career in industrial environments within various fields of engineering. The focus on modelling and simulation are key knowledges demanded by many industries R&D developments. The curriculum is also highly research-orientated and prepares graduates for a Ph.D. programme and a career in academia. Since the programme is conduct in English, the graduates are qualified for the international market.

      Contact

      Programme co-ordinator

      Sign up for information newsletters about the programme:

      The University of Skövde will only use the information you submit via the form for this specific purpose. For more information on how we process your personal data, please see www.his.se/dataprivacy/

      Published: 9/21/2022
      Edited: 9/21/2022
      Responsible: webmaster@his.se